Product Data Scientist.

Data Scientist (Full-Stack / Generalist)

Location: Remote / Flexible Type: Full-Time

Compensation: Competitive

We are seeking an experienced, versatile Data Scientist who thrives in a fast-paced startup environment. In this role, you will have the freedom to identify high-impact opportunities, design and implement technical solutions, and measure their success across our global product suite.

We value generalists over specialists. The ideal candidate has broad experience across the entire data science lifecycle rather than deep expertise in just one niche. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. At our firm, you aren't just a number; you maintain ownership of your projects from initial conception to final implementation.

What You'll Do:

• Product Optimization: Design, run, and analyze complex A/B tests to optimize our consumer-facing product experience.
• Proactive Analysis: Identify hidden problems and growth opportunities through deep-dive data exploration.
• Visualization: Build and maintain high-impact dashboards to track key metrics and provide real-time insights.
• Modeling: Develop predictive models to understand user behavior and forecast business outcomes.
• Cross-Functional Collaboration: Partner with Product and Engineering teams to turn data-driven hypotheses into live solutions.
• Strategy: Help establish data best practices and methodologies for a growing team.

• Experience: 2–3+ years of data science experience within a high-growth startup, scale-up, or FAANG/equivalent environment.
• Technical Stack: Proficiency with Python/R and SQL/BigQuery .
• Experimental Design: Strong experience in designing and analyzing A/B tests specifically for consumer-grade products.
• Autonomy: A proven track record of managing entire projects independently from ideation through to implementation.
• Communication: Exceptional ability to translate complex statistical findings into actionable recommendations for non-technical stakeholders.

Preferred Qualifications:

• Domain Knowledge: Experience with cryptocurrency, blockchain data, or fintech products.
• Tooling: Proficiency with Grafana (visualization), FullStory (event tracking), and Dataform (data pipelines).
• Advanced Analytics: Strong knowledge of causal inference, statistical methods, and Machine Learning applications.

• Compensation: Competitive base salary paired with a generous equity/token package.
• Flexibility: Flexible work arrangements to support a healthy work-life balance.
• Comprehensive Care: Premium health benefits and a dedicated professional development budget.
• High Impact: The opportunity to shape the future of a market-leading product in a collaborative, fast-paced environment.
• Inclusive Culture: We are building a diverse team and encourage applications from candidates of all backgrounds.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].